T/MSITISA 03-003.02-2021 Big Data Credit Data Resources Enterprise Metadata
T/MSITISA 03-003.02-2021 Big Data Credit Data Resources Enterprise Metadata
Basic Information
Scope
Main technical content: Metadata is data about data, which can describe elements, attributes, structures, or relationships of data. Metadata is similar to an electronic catalog, describing and collecting the content or characteristics of data, thereby enabling quick overview of data attribute structures and assisting in data retrieval. Proper metadata management can make data usage more accurate and efficient, allowing users to first review the metadata and obtain the necessary information when using the data. The basic characteristics of metadata include: a) Once established, metadata can be shared. The structure and integrity of metadata depend on the value of information resources and their usage environment; the development and utilization environment of metadata is often a changing distributed environment; b) Metadata is an encoding system. Metadata is used to describe digital information resources. Metadata encoding is a summary table describing various metadata codes, code names, and code attributes in the construction of metadata, which serves as a basis for metadata code query and application, as well as a global and guiding document for metadata codes. Big data credit information enterprise metadata management includes metadata management requirements and process standards, metadata encoding standards, metadata structure standards, metadata collection, metadata version management, and metadata maintenance management, which together ensure the availability and reliability of metadata. When conducting enterprise credit information business, establishing a scientific, efficient, and sustainable enterprise information metadata management system helps simplify data discovery, track data changes, enhance data consistency and eliminate redundancy, standardize and optimize departmental business processes, improve the development speed and stability of credit information business, and achieve flexible expansion and maintainability of complex credit information data